A5071118066- Physical Activity and Health
- Obesity, Physical Activity, Diet
- Sleep and related disorders
- Sleep and Wakefulness Research
- Circadian rhythm and melatonin
- Non-Invasive Vital Sign Monitoring
- Context-Aware Activity Recognition Systems
- Cardiovascular and exercise physiology
- Inertial Sensor and Navigation
- Mobile Health and mHealth Applications
- Health disparities and outcomes
- Geophysics and Gravity Measurements
- Child Nutrition and Feeding Issues
- Obstructive Sleep Apnea Research
- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Heart Rate Variability and Autonomic Control
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Children's Physical and Motor Development
- EEG and Brain-Computer Interfaces
- Mental Health Research Topics
- Behavioral Health and Interventions
- Body Composition Measurement Techniques
- Nutritional Studies and Diet
- Genetic Associations and Epidemiology
Amsterdam University Medical Centers
2021-2022
Vrije Universiteit Amsterdam
2009-2022
Netherlands eScience Center
2015-2020
UK Dementia Research Institute
2019
University of Exeter
2018
MRC Epidemiology Unit
2009-2017
Newcastle University
2012-2017
Medical Research Council
2010-2017
University of Cambridge
2014-2017
Universidade Federal de Pelotas
2014
Physical activity has not been objectively measured in prospective cohorts with sufficiently large numbers to reliably detect associations multiple health outcomes. Technological advances now make this possible. We describe the methods used collect and analyse accelerometer physical over 100,000 participants of UK Biobank study, report variation by age, sex, day, time season.Participants were approached email wear a wrist-worn for seven days that was posted them. information extracted from...
The study aims were to compare raw triaxial accelerometer output from ActiGraph GT3X+ (AG) and GENEActiv (GA) placed on the hip wrist develop regression equations for estimating energy expenditure.Thirty children (7-11 yr) 30 adults (18-65 completed eight activities (ranging lying running) while wearing one AG GA wrist. Oxygen consumption (V˙O2) was measured with indirect calorimetry. Analysis involved use of ANOVA examine effect activity, brand, placement acceleration values, intraclass...
Human body acceleration is often used as an indicator of daily physical activity in epidemiological research. Raw signals contain three basic components: movement, gravity, and noise. Separation these becomes increasingly difficult during rotational movements. We aimed to evaluate five different methods (metrics) processing on their ability remove the gravitational component standardised mechanical movements implications for human assessment.An industrial robot rotated accelerometers...
Recent technological advances have transformed the research on physical activity initially based questionnaire data to most recent objective from accelerometers. The shift availability of raw accelerations has increased measurement accuracy, transparency, and potential for harmonization. However, it also shifted need considerable processing expertise researcher. Many users do not this expertise. R package GGIR been made available all as a tool convermulti-day high resolution accelerometer...
Wrist-worn accelerometers are increasingly being used for the assessment of physical activity in population studies, but little is known about their value sleep assessment. We developed a novel method assessing duration using data from 4,094 Whitehall II Study (United Kingdom, 2012–2013) participants aged 60–83 who wore accelerometer 9 consecutive days, filled log and reported via questionnaire. Our detection algorithm defined (nocturnal) as period sustained inactivity, itself detected...
Abstract Being a morning person is behavioural indicator of person’s underlying circadian rhythm. Using genome-wide data from 697,828 UK Biobank and 23andMe participants we increase the number genetic loci associated with being 24 to 351. 85,760 individuals activity-monitor derived measures sleep timing find that chronotype associate timing: mean 5% carrying most morningness alleles 25 min earlier than fewest. The are enriched for genes involved in regulation, cAMP, glutamate insulin...
Wearable acceleration sensors are increasingly used for the assessment of free-living physical activity. Acceleration sensor calibration is a potential source error. This study aims to describe and evaluate an autocalibration method minimize error using segments within records (no extra experiments needed). The entailed extraction nonmovement periods in data, which measured vector magnitude should ideally be gravitational (1 g); this property was derive correction factors iterative...
Abstract Sleep is an essential state of decreased activity and alertness but molecular factors regulating sleep duration remain unknown. Through genome-wide association analysis in 446,118 adults European ancestry from the UK Biobank, we identify 78 loci for self-reported habitual ( p < 5 × 10 −8 ; 43 at 6 −9 ). Replication observed PAX8 , VRK2 FBXL12/UBL5/PIN1 CHARGE study n = 47,180; 6.3 −4 ), 55 signals show sign-concordant effects. The further associate with accelerometer-derived...
Sleep dysregulation is a feature of dementia but it remains unclear whether sleep duration prior to old age associated with incidence. Using data from 7959 participants the Whitehall II study, we examined association between and incidence (521 diagnosed cases) using 25-year follow-up. Here report higher risk six hours or less at 50 60, compared normal (7 h) duration, although this was imprecisely estimated for 70 (hazard ratios (HR) 1.22 (95% confidence interval 1.01-1.48), 1.37 (1.10-1.72),...
Abstract Wrist worn raw-data accelerometers are used increasingly in large-scale population research. We examined whether sleep parameters can be estimated from these data the absence of diaries. Our heuristic algorithm uses variance z-axis angle and makes basic assumptions about interruptions. Detected period time window (SPT-window) was compared against diary 3752 participants (range = 60–82 years) polysomnography clinic patients (N 28) healthy good sleepers 22). The SPT-window derived...
The aim was to develop sedentary (sitting/lying) thresholds from hip and wrist worn raw tri‐axial acceleration data the ActiGraph GENEActiv, examine agreement between free‐living time spent below these with estimated by activPAL. Sixty children adults wore an GENEActiv on while performing six structured activities, before wearing monitors, in addition activPAL, for 24 h. Receiver operating characteristic (ROC) curves were used determine based activities laboratory. Agreement developed during...
The correlation between objective and self-reported measures of physical activity varies studies. We examined this association whether it differed by demographic factors or socioeconomic status (SES). Data were from 3,975 Whitehall II (United Kingdom, 2012–2013) participants aged 60–83 years, who completed a questionnaire wore an accelerometer on their wrist for 9 days. There was moderate questionnaire- accelerometer-assessed (Spearman's r = 0.33, 95% confidence interval: 0.30, 0.36)....
Abstract Sleep is an essential human function but its regulation poorly understood. Using accelerometer data from 85,670 UK Biobank participants, we perform a genome-wide association study of 8 derived sleep traits representing quality, quantity and timing, validate our findings in 5,819 individuals. We identify 47 genetic associations at P < 5 × 10 −8 , which 20 reach stricter threshold −10 . These include 26 novel with measures quality nocturnal duration. The majority identified...
Purpose This study aimed to 1) explore children’s compliance wearing wrist- and hip-mounted accelerometers, 2) compare physical activity (PA) derived from raw accelerations of wrist hip, 3) examine differences in counts PA measured by hip-worn accelerometry. Methods One hundred twenty-nine 9- 10-yr-old children wore a wrist-mounted GENEActiv accelerometer (GAwrist) ActiGraph GT3X+ (AGhip) for 7 d. Both devices accelerations, the AGhip also provided count-based data. Results More GAwrist than...
Background Few studies have compared the validity of objective measures physical activity energy expenditure (PAEE) in pregnant and non-pregnant women. PAEE is commonly estimated with accelerometers attached to hip or waist, but little known about participant acceptability wrist attachment. The objectives current study were assess a simple summary measure derived from wrist-worn accelerometer (GENEA, Unilever Discover, UK) estimate women, evaluate acceptability. Methods Non-pregnant (N = 73)...
Background: Data on objectively measured physical activity are lacking in low- and middle-income countries. The aim of this study was to describe overall time spent moderate-to-vigorous (MVPA) individuals from the Pelotas (Brazil) birth cohorts, according weight status, socioeconomic status (SES) sex. Methods: All children born 1982, 1993 2004 hospitals city Pelotas, Brazil, constitute sampling frame; these 99% agreed participate. most recent follow-ups were conducted between 2010 2013. In...
Abstract The mismatch repair gene MSH3 has been implicated as a genetic modifier of the CAG·CTG repeat expansion disorders Huntington’s disease and myotonic dystrophy type 1. A recent genome-wide association study found rs557874766, an imputed single nucleotide polymorphism located within polymorphic 9 bp tandem in MSH3/DHFR, variant most significantly associated with progression disease. Using Illumina sequencing 1 subjects, we show that rs557874766 is alignment artefact, minor allele for...
Abstract Physical activity is key for successful ageing, but questions remain regarding the optimal physical pattern. We examined cross-sectional association between and ageing using data on 3,749 participants (age range = 60–83years) of Whitehall II study. The underwent a clinical assessment, completed 20-item questionnaire, wore wrist-mounted accelerometer 9 days. Successful was defined as good cognitive, motor, respiratory functioning, along with absence disability, mental health...
The inter-relationship between physical activity, sedentary behaviour and sleep (collectively defined as behaviours) is of interest to researchers from different fields. Each these behaviours has been investigated in epidemiological studies, yet their codependency interactions need be further explored accounted for data analysis. Modern accelerometers capture continuous movement through the day, which presents challenge how best use richness data. In recent years, analytical approaches first...
Objective To examine the joint associations of daily time spent in different intensities physical activity, sedentary behaviour and sleep with all-cause mortality. Methods Federated pooled analysis six prospective cohorts device-measured following a standardised compositional Cox regression analysis. Participants 130 239 people from general population samples adults (average age 54 years) UK, USA Sweden. Main outcome All-cause mortality (follow-up 4.3–14.5 years). Results Studies using wrist...
Accurate and low-cost sleep measurement tools are needed in both clinical epidemiological research. To this end, wearable accelerometers widely used as they low price provide reasonably accurate estimates of movement. Techniques to classify from the high-resolution accelerometer data primarily rely on heuristic algorithms. In paper, we explore potential detecting using Random forests. Models were trained three different studies where 134 adult participants (70 with disorder 64 good healthy...
Background: Disease risk is lower in metabolically healthy obese adults than their unhealthy counterparts. Studies considering physical activity as a modifiable determinant of obesity have relied on self-reported measures, which are prone to inaccuracies and do not capture all movements that contribute health. Objective: We aimed examine differences total moderate-to-vigorous between groups by using both self-report wrist-worn accelerometer assessments. Design: Cross-sectional analyses were...